Will AI replace Physical Therapist Assistants?
Most of the work in Physical Therapist Assistants still leans on things AI struggles with — research rates its theoretical AI reach at only ~15%, and real-world use lower still.
O*NET-SOC 31-2021
How your 18 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~15%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~15%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 18 tasks, ratedBased on real task-level AI scores — click to collapse
- Document patient information, such as notes on their progress.
- Perform clerical duties, such as taking inventory, ordering supplies, answering telephone, taking messages, or filling out forms.
- Observe patients during treatments to compile and evaluate data on their responses and progress and provide results to physical therapist in person or through progress notes.
- Monitor operation of equipment and record use of equipment and administration of treatment.
- Instruct, motivate, safeguard, and assist patients as they practice exercises or functional activities.
- Instruct patients in proper body mechanics and in ways to improve functional mobility, such as aquatic exercise.
- Secure patients into or onto therapy equipment.
- Confer with physical therapy staff or others to discuss and evaluate patient information for planning, modifying, or coordinating treatment.
- Administer active or passive manual therapeutic exercises, therapeutic massage, aquatic physical therapy, or heat, light, sound, or electrical modality treatments, such as ultrasound.
- Transport patients to and from treatment areas, lifting and transferring them according to positioning requirements.
- Clean work area and check and store equipment after treatment.
- Communicate with or instruct caregivers or family members on patient therapeutic activities or treatment plans.
- Measure patients' range-of-joint motion, body parts, or vital signs to determine effects of treatments or for patient evaluations.
- Train patients in the use of orthopedic braces, prostheses, or supportive devices.
- Assist patients to dress, undress, or put on and remove supportive devices, such as braces, splints, or slings.
- Attend or conduct continuing education courses, seminars, or in-service activities.
- Fit patients for orthopedic braces, prostheses, or supportive devices, such as crutches.
- Perform postural drainage, percussions, or vibrations or teach deep breathing exercises to treat respiratory conditions.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.